Sobitha Ravichandran
Sobitha Ravichandran

Architectural designer, researcher, and founder of [SR] Design Lab.

Designing the Future of Architecture

Emerging from Zaha Hadid Architects and Harrods, London — Sobitha brings rigorous intellectual depth to practice. She holds a PhD in Architecture and leads a California-based studio built around AI-native workflows.

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PRACTICE

[SR] Design Lab

A design consultancy organized to integrate AI into the core of architectural practice.

AI-Native Workflows

AI-Native Workflows

Translating ambitious ideas into feasible outcomes at exceptional speed.

AI & Research

AI & Research

Advancing the discourse on artificial intelligence and its impact on architectural design.

Teaching & Workshops

Teaching & Workshops

Shaping the next generation of designers through academic engagement and public lectures.

BACKGROUND

Forged at the Frontier

Sobitha is an architect and design leader with expertise in high-end design, computational research, and client-side delivery across global markets.

She holds a PhD in Architecture with published research on AI, workplace optimization, and advanced computational methods. She spent a decade at Zaha Hadid Architects leading computational design initiatives and delivering landmark projects across retail, residential, cultural, and mixed-use sectors, while driving in-house research through ZAHA-CODE and the Agent-based Parametric Semiology group.

In parallel, she's taught and lectured at the Architectural Association's Design Research Lab (AADRL), served as a visiting critic across the UK, Europe, and Asia, and now lectures at San José State University while mentoring the AEC global teamwork project at Stanford.

RESEARCH

A PhD at the Intersection of AI & Space

Sobitha's doctoral research investigates how artificial intelligence reshapes architectural thinking — from generative form-finding to intelligent spatial reasoning. Her work bridges academic rigor and real-world practice, producing insights that are both theoretically grounded and immediately applicable.

Research Focus Areas

Generative Design

Computational form-finding and algorithmic exploration

AI Decision-Making

Intelligent spatial planning and reasoning systems

Agent-Based Simulation

Simulating behaviour to evaluate designs against performance criteria

Human-AI Collaboration

Design workflows integrating human creativity with AI capabilities

DISCOURSE

A Leading Voice on AI in Architecture

Sobitha is recognized as a leading thinker on AI's transformative role in architecture. She contributes through academic teaching, peer-reviewed research, and public lectures worldwide.

Her voice shapes contemporary design discourse — challenging assumptions and opening new frontiers for the profession.

TEACHING

Workshops & Academic Engagement

Through hands-on workshops and studio teaching, Sobitha transfers cutting-edge knowledge directly to the next generation of architectural designers.

Teaching & Workshops

Studio Teaching

Embedding AI thinking into foundational design education.

Public Lectures

Engaging broad audiences on the future of design and intelligence.

Workshops

Practical, intensive sessions bridging theory and digital practice.

PRESS

Exhibitions

Design Horizons: Architecture, AI and User Journeys of the Future, JP Morgan, San Francisco, 2026

Design Horizons: Architecture, AI and User Journeys of the Future, JP Morgan, San Francisco, 2026

ABPS Research Symposium, Vienna, 2019

ABPS Research Symposium, Vienna, 2019

ABPS Research Symposium, Vienna, 2019

ABPS Research Symposium, Vienna, 2019

ABPS Symposium, AA School, London, 2018

ABPS Symposium, AA School, London, 2018

Fluid Design Workshop 2, PESIT University, Bangalore, 2017

Fluid Design Workshop 2, PESIT University, Bangalore, 2017

Fluid Design Workshop 1, PESIT University, Bangalore, 2016

Fluid Design Workshop 1, PESIT University, Bangalore, 2016

VISION

Intelligence for Design Performance

"The future of design isn't what we see, but how we predict and empower the human experience."

Sobitha's practice treats artificial intelligence not as an auxiliary instrument, but as a core medium. This fundamental shift redefines what is possible — in form, process, and meaning.